mspline_plotsetup: Get basis for an illustration of an M-spline with given...

In survextrap: Bayesian Flexible Parametric Survival Modelling and Extrapolation

Get basis for an illustration of an M-spline with given knots.

Description

Get basis for an illustration of an M-spline with given knots.

Usage

mspline_plotsetup(
  knots,
  bknot = 10,
  tmin = NULL,
  tmax = NULL,
  degree = 3,
  df = 10,
  bsmooth = TRUE
)

Arguments

knots	Vector of knot locations. If not supplied, df has to be specified. One of two rules is then used to choose the knot locations. If bknot is specified, a set of equally spaced knots between zero and bknot is used. Otherwise if obstimes is supplied, the knots are chosen as equally spaced quantiles of obstimes. The number of knots (excluding zero) is df - degree + 1 if bsmooth is TRUE, or df - degree - 1 otherwise.
bknot	Location of the final spline knot.
tmin	Minimum plotting time. Defaults to zero.
tmax	Maximum plotting time. Defaults to the highest knot.
degree	Spline polynomial degree. Can only be changed from the default of 3 if bsmooth is FALSE.
df	Desired number of basis terms, or "degrees of freedom" in the spline. If knots is not supplied, the number of knots is then chosen to satisfy this.
bsmooth	If TRUE then the function is constrained to also have zero derivative and second derivative at the boundary.

Value

Data frame containing the basis, as returned by mspline_basis.

survextrap documentation built on June 10, 2025, 5:11 p.m.